With the rapid increase in computing power in the past two decades, machine learning has increasingly found utility as a remarkable tool for a wide range of problems spanning image recognition and natural language processing [1]}. Excitingly, machine learning has also seen some success when applied to engineering problems such as physical simulations. This includes the prediction of flow past airfoils derived from CFD simulations [2]}, [3]}, incompressible laminar flows [4]}, and other complex physics phenomena [5]}.
